Lauren A Eaves

Dr. Lauren A Eaves

University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
29 May 2020 in Environmental Science & Technology
Verified
Journal Article
Closed access
JBJacqueline Bangma
Jacqueline Bangma
LELauren A Eaves
Lauren A Eaves
KOKirsi Oldenburg
Kirsi Oldenburg
JRJessica L. Reiner
Jessica L. Reiner
TMTracy Manuck
Tracy Manuck
RFRebecca C Fry
Rebecca C Fry

13 December 2019 in Chemical Research in Toxicology
Verified
Journal Article
Closed access
LELauren A Eaves
Lauren A Eaves
LSLisa Smeester
Lisa Smeester
HHHadley J. Hartwell
Hadley J. Hartwell
YLYing-Hsuan Lin
Ying-Hsuan Lin
MAMaiko Arashiro
Maiko Arashiro
RFRebecca C Fry
Rebecca C Fry

1 August 2023 in Environmental Health Perspectives
Verified
Journal Article
Closed access
LELauren A Eaves
Lauren A Eaves
GCGiehae Choi
Giehae Choi
EHEmily Hall
Emily Hall
FSFenna C.M. Sillé
Fenna C.M. Sillé
RFRebecca C. Fry
Rebecca C. Fry
AKAlexander P. Keil
Alexander P. Keil

9 September 2020 in Epigenomics
Verified
Journal Article
Closed access
LELauren A Eaves
Lauren A Eaves
PPPreeyaphan Phookphan
Preeyaphan Phookphan
JRJulia E Rager
Julia E Rager
JBJacqueline Bangma
Jacqueline Bangma
HSHudson P Santos
Hudson P Santos
RFRebecca C Fry
Rebecca C Fry
Aim: The contribution of miRNAs as epigenetic regulators of sexually dimorphic gene expression in the placenta is unknown. Materials & methods: 382 placentas from the extremely low gestational age ...

1 August 2022 in Epigenomics
Verified
Journal Article
Closed access
AFAnastasia N Freedman
Anastasia N Freedman
LELauren A Eaves
Lauren A Eaves
JRJulia E Rager
Julia E Rager
NGNoemi Gavino-Lopez
Noemi Gavino-Lopez
LSLisa Smeester
Lisa Smeester
RFRebecca C Fry
Rebecca C Fry
Aim: The placenta–brain axis reflects a developmental linkage where disrupted placental function is associated with impaired neurodevelopment later in life. Placental gene expression and the expres... Plain language summary Children born extremely preterm are at increased risk for neurodevelopmental impairments such as cerebral palsy, intellectual disability and autism. The biological processes ...

6 December 2022 in Chemosphere
Verified
Journal Article
Open access
LELauren A Eaves
Lauren A Eaves
CBCatherine M Bulka
Catherine M Bulka
JRJulia E. Rager
Julia E. Rager
AGAmaree J. Gardner
Amaree J. Gardner
AGAubrey L. Galusha
Aubrey L. Galusha
RFRebecca C Fry
Rebecca C Fry
Prenatal exposure to toxic metals is linked to numerous adverse birth and later-in-life outcomes. These outcomes are tied to disrupted biological processes in fetal-derived tissues including the placenta and umbilical cord yet the precise pathways are understudied in these target tissues. We set out to examine the relationship between metal concentrations in umbilical cord and altered gene expression networks in placental tissue. These novel relationships were investigated in a subset of the Extremely Low Gestational Age Newborn (ELGAN) cohort (n = 226). Prenatal exposure to 11 metals/metalloids was measured using inductively coupled plasma tandem-mass spectrometry (ICP-MS/MS) in cord tissue, ensuring passage through the placental barrier. RNA-sequencing was used to quantify >37,000 mRNA transcripts. Differentially expressed genes (DEGs) were identified with respect to each metal. Weighted gene co-expression analysis identified gene networks modulated by metals. Two innovative mixtures modeling techniques, namely principal components analysis and quantile-based g-computation, were employed to identify genes/gene networks associated with multi-metal exposure. Individually, lead was associated with the strongest genomic response of 191 DEGs. Joint lead and cadmium exposure was related to 657 DEGs, including DNA Methyl Transferase 1 (DNMT1). These genes were enriched for the Eukaryotic Initiation Factor 2 (EIF2) pathway. Four gene networks, each containing genes within a Nuclear Factor kappa-light-chain-enhancer of Activated B Cells (NF-kB)-mediated network, were significantly increased in average expression level in relation to increases in all metal concentrations. All four of these metal mixture-associated gene networks were negatively correlated with important predictors of neonatal health including birth weight, placenta weight, and fetal growth. Bringing together novel methodologies from epidemiological mixtures analyses and toxicogenomics, applied to a unique cohort of extremely preterm children, the present study highlighted critical genes and pathways in the placenta dysregulated by prenatal metal mixtures. These represent potential mechanisms underlying the developmental origins of metal-induced disease.